Predicting Protein Functions Based on Differential Co-expression and Neighborhood Analysis-Reference-Cited by-同舟云学术

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Predicting Protein Functions Based on Differential Co-expression and Neighborhood Analysis

Published:2021-01-01 Issue:1 Volume:28 Page:1-18
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Wekesa Jael Sanyanda¹²,Luan Yushi³,Meng Jun¹

Affiliation:

1. School of Computer Science and Technology, Dalian University of Technology, Dalian, China.

2. School of Computing and Information Technology, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.

3. School of Life Science and Biotechnology, Dalian University of Technology, Dalian, China.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2019.0120

Reference50 articles.

1. Gene Coexpression Network Analysis as a Source of Functional Annotation for Rice Genes

2. Correlating transcriptional networks to breast cancer survival: a large-scale coexpression analysis

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1. Protein function prediction as approximate semantic entailment;Nature Machine Intelligence;2024-02-14

2. DeepPPThermo: A Deep Learning Framework for Predicting Protein Thermostability Combining Protein-Level and Amino Acid-Level Features;Journal of Computational Biology;2023-12-13

3. DeepGO-SE: Protein function prediction as Approximate Semantic Entailment;2023-09-28

4. Mapping relationships between glutathione and SLC25 transporters in cancers using hybrid machine learning models;2023-09-21

5. A systems biology approach for identifying key genes and pathways of gastric cancer using microarray data;Gene Reports;2021-03

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